wehub-resource-sync
113 lines
4.0 KiB
C++
113 lines
4.0 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/fluid/jit/function_utils.h"
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#include "paddle/fluid/framework/program_desc.h"
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#include "paddle/fluid/framework/scope.h"
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#include "paddle/fluid/framework/var_desc.h"
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#include "paddle/fluid/framework/variable.h"
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#include "paddle/phi/core/enforce.h"
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namespace paddle::jit::utils {
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std::vector<DenseTensor> ToDenseTensors(const std::vector<Tensor> &tensors) {
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std::vector<DenseTensor> ret;
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for (auto &t : tensors) {
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ret.emplace_back(*std::dynamic_pointer_cast<phi::DenseTensor>(t.impl()));
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}
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return ret;
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}
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std::vector<Tensor> ToTensors(const std::vector<DenseTensor> &tensors) {
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std::vector<Tensor> ret;
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for (auto &t : tensors) {
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ret.emplace_back(std::make_shared<DenseTensor>(t));
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}
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return ret;
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}
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void FetchOuts(const std::vector<std::string> &names,
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const framework::Scope &scope,
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std::vector<DenseTensor> *outs) {
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outs->reserve(names.size());
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for (const auto &out_name : names) {
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VLOG(3) << "fetch out: " << out_name;
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auto *var = scope.FindVar(out_name);
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auto &src_tensor = var->Get<DenseTensor>();
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outs->emplace_back(src_tensor);
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}
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}
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void ShareIntoScope(const std::vector<std::string> &ordered_input_names,
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const std::vector<DenseTensor> &tensors,
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framework::Scope *scope) {
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VLOG(3) << "tensors size: " << tensors.size();
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PADDLE_ENFORCE_EQ(
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tensors.size(),
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ordered_input_names.size(),
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common::errors::InvalidArgument(
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"tensors.size() should be equal to ordered_input_names.size()."));
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for (size_t i = 0; i < tensors.size(); ++i) {
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VLOG(3) << "share into scope: " << ordered_input_names[i];
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auto *var = scope->Var(ordered_input_names[i]);
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auto *dst_tensor = var->GetMutable<DenseTensor>();
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*dst_tensor = tensors[i];
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}
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}
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void ShareParamsIntoScope(const std::vector<std::string> ¶m_names,
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const std::shared_ptr<VariableMap> ¶ms_dict,
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framework::Scope *scope) {
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for (auto name : param_names) {
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PADDLE_ENFORCE_EQ(params_dict->count(name),
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1,
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common::errors::InvalidArgument(
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"Parameter named %s is not existed in params_dict. "
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"Please check that your model was saved correctly",
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name));
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auto ¶m = params_dict->find(name)->second;
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auto &dense_tensor = param->Get<DenseTensor>();
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auto *var = scope->Var(name);
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auto *dst_tensor = var->GetMutable<DenseTensor>();
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*dst_tensor = dense_tensor;
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}
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}
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void RemoveFeedFetch(framework::ProgramDesc *program_desc) {
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for (size_t i = 0; i < program_desc->Size(); ++i) {
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auto *block = program_desc->MutableBlock(i);
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const auto &all_ops = block->AllOps();
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size_t op_size = all_ops.size();
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VLOG(3) << "op_size: " << op_size;
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for (int i = static_cast<int>(op_size - 1); i >= 0; i--) {
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auto op = all_ops[i];
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if (op->Type() == "feed") {
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VLOG(3) << "remove op type: " << op->Type() << ", index: " << i
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<< ", var name: " << op->Input("X")[0];
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block->RemoveVar(op->Input("X")[0]);
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block->RemoveOp(i, i + 1);
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} else if (op->Type() == "fetch") {
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VLOG(3) << "remove op type: " << op->Type() << ", index: " << i
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<< ", var name: " << op->Output("Out")[0];
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block->RemoveVar(op->Output("Out")[0]);
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block->RemoveOp(i, i + 1);
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}
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}
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}
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}
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} // namespace paddle::jit::utils
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